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Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field
1-2 years of experience in machine learning or data science
Solid understanding of machine learning fundamentals and algorithms such as regression, classification, clustering, and neural networks
Proficiency in programming languages such as Python, R, or Java, with experience in libraries like TensorFlow, PyTorch, scikit-learn, or Keras
Experience with data manipulation, visualization, and analysis using tools like pandas, NumPy, or matplotlib
Familiarity with version control systems like Git and collaborative development workflows

Collaborate with senior engineers and data scientists to understand project requirements and design machine learning solutions
Develop, test, and deploy machine learning models and algorithms
Pre-process data, perform feature engineering, and explore data to identify patterns and insights
Evaluate model performance, troubleshoot issues, and optimize algorithms for scalability and efficiency
Stay updated with the latest machine learning techniques, tools, and technologies
Document code, processes, and results thoroughly for reproducibility and knowledge sharing
Assist in integrating machine learning models into production systems and workflows
Participate in code reviews, team meetings, and brainstorming sessions to contribute ideas and improvements